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Ms. Preibisch | "The test of literature is, I suppose, whether we ourselves live more intensely for the reading of it." – Elizabeth Drew — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Books And Literature →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ftlor.org ↗	66 match 2 shared topics	For the Love of Reading	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
friendsnola.org ↗	64 match 2 shared topics	Friends of New Orleans Public Library \| Join Friends and support a lifelong love of reading and learning.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
allbooksforallkids.com ↗	64 match 2 shared topics	Free Reading Printable PDFs for Librarians & Teachers	en	books-and-literature	robotsllmsaihumans	emailphone	none
friendsofbethpl.org ↗	64 match 2 shared topics	JOIN US IN SUPPORTING THE LIBRARY AND ALL IT DOES FOR THE COMMUNITY	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
mysfpl.org ↗	64 match 2 shared topics	Simon Fairfield Public Library – The Literary Heart of Douglas, Massachusetts	United States~ en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
analyzingtexts.com ↗	63 match 2 shared topics	Reading Argumentative Texts	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
friendsausoniolibrary.org ↗	63 match 2 shared topics	Friends of the Andy Ausonio Library – Supporting Monterey County Free Libraries in Castroville, California.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
relicsresearch.com ↗	63 match 2 shared topics	RELICS – Researchers of European Literary Identity, Cosmopolitanism and the Schools	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
whybookbans.com ↗	63 match 2 shared topics	Home \| Whybookbans	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
whatimreading.org ↗	63 match 2 shared topics	I'm Reading...	en	books-and-literature	robotsllmsaihumans	emailphone	none
elizabethtaberlibrary.org ↗	63 match 2 shared topics	Home \| Elizabeth Taber Library	United States~ en	books-and-literature WordPress	robotsllmsaihumans	email phone	none
steinbeckintheschools.com ↗	63 match 2 shared topics	Steinbeck in the Schools \| Center for Steinbeck Studies	en	books-and-literature	robotsllmsaihumans	email phone	none
friendsoflarlibrary.com ↗	63 match 2 shared topics	Home \| Friends of the Los Alamitos-Rossmoor Library	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
mirrorandthelamp.org ↗	63 match 2 shared topics	The Mirror & the Lamp – A Student Publication of the Department of English at WIU	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
definethetrench.com ↗	63 match 2 shared topics	The Trench Dictionary - Interactive Paperback Dictionary	en	books-and-literature	robotsllmsaihumans	emailphone	none
whatsoproudlywehail.org ↗	62 match 2 shared topics	What So Proudly We Hail \| Making American citizens through literature	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
friendsofbedfordlibrary.org ↗	62 match 2 shared topics	Friends of the Bedford Public Library – Working to support our library	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
a1.education ↗	62 match 2 shared topics	a1	en	books-and-literature	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.